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Toxicol Res. (2021) 37:1–23 https://doi.org/10.1007/s43188-020-00056-z

INVITED REVIEW

A history of the roles of cytochrome P450 enzymes in the toxicity of drugs

F. Peter Guengerich1

Received: 22 May 2020 / Revised: 22 May 2020 / Accepted: 11 June 2020 / Published online: 18 August 2020 © Korean Society of Toxicology 2020

AbstractThe history of drug metabolism began in the 19th Century and developed slowly. In the mid-20th Century the relationship between drug metabolism and toxicity became appreciated, and the roles of cytochrome P450 (P450) enzymes began to be defined in the 1960s. Today we understand much about the metabolism of drugs and many aspects of safety assessment in the context of a relatively small number of human P450s. P450s affect drug toxicity mainly by either reducing exposure to the parent molecule or, in some cases, by converting the drug into a toxic entity. Some of the factors involved are enzyme induction, enzyme inhibition (both reversible and irreversible), and pharmacogenetics. Issues related to drug toxicity include drug–drug interactions, drug-food interactions, and the roles of chemical moieties of drug candidates in drug discovery and development. The maturation of the field of P450 and drug toxicity has been facilitated by advances in analytical chemistry, computational capability, biochemistry and enzymology, and molecular and cell biology. Problems still arise with P450s and drug toxicity in drug discovery and development, and in the pharmaceutical industry the interaction of scientists in medicinal chemistry, drug metabolism, and safety assessment is critical for success.

Keywords Cytochrome P450 · Drugs · Toxicity · Reactive intermediates · Drug-drug interactions · Toxicophores

Introduction

Much has been written about cytochrome P450 (P450, CYP). In this review I will deal with one aspect of P450, drug toxicity, and the history of how this developed. Metab-olism will be discussed in the context of causing (or prevent-ing) toxicity, aside from drug efficacy per se.

I have attempted to do this from a historical background, for a reason. I am not sure that all of the younger scientists in the field appreciate the history or the lessons learned, and they can be important. I did not enter this research area until 1973, so everything discussed before that is what I have gleaned directly from others or from the literature. During the early days of my career I always seemed to be one of the

younger members of the P450 field but now I find myself one of the older ones, as others retire and start disappearing. I would like to share some thoughts about the P450 field, focused on drug toxicity, from my own perspective.

Suffice it to say that the story of the application of P450 research to the development of new drugs, over the past 50 years, has been a remarkable success story. In part because of this, the number of drugs recalled by the Food and Drug Administration (FDA) in the United States has not been high, and apparently none have been approved that have proven to cause cancer or birth defects. There is still opportunity for improvement, as discussed at the end of this article.

Two major themes will appear in this historical perspec-tive on the relationship of P450s with toxicity. One will be that P450s prevent drug toxicity by oxidizing a drug to prevent its toxic effects. The opposite side will involve P450-catalyzed conversion of drugs to reactive products that cause toxicity (Fig. 1, Table 1). Over the top of these two over-arching themes will be effects of enzyme inhibition, induction, and other matters related to drug-drug interac-tions (Table 2).

Toxicological ResearcheISSN 2234-2753pISSN 1976-8257

Electronic supplementary material The online version of this article (https ://doi.org/10.1007/s4318 8-020-00056 -z) contains supplementary material, which is available to authorized users.

* F. Peter Guengerich f.guengerich@vanderbilt.edu

1 Department of Biochemistry, Vanderbilt University School of Medicine, 638B Robinson Research Building, 2200 Pierce Avenue, Nashville, TN 37232-0146, USA

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Early history of drug metabolism

Although the field of toxicology can trace its roots back to ancient Greece and to Paracelsus 500 years ago [2], the appreciation of metabolism is more recent [3]. synthesis of urea [3] was a link between chemistry and physiology, and a number of studies on the metabolism of xenobiotics fol-lowed. These early studies were essentially all with simple organic chemicals administered to animals—or humans (including Wöhler and other scientists themselves)—such as benzene, benzoic acid, and cinnamic acid. The pioneer-ing work by Baumann, Jaffe, von Mening, Schmiedeberg,

Thierfelder, Ure, Naunyn, Nencki, Keller, Erdmann, Marchand, and others primarily involved conjugations [4, 5]. Research on simple chemicals continued into the first half of the twentieth century and was still focused on con-jugation reactions, even in the early work of Williams in the United Kingdom [4, 6–9].

One can ask why there was only limited investiga-tion of the fates of drugs then. One of the main reasons is that there were really few drugs then, compared to today. Organic chemistry was developing, and there was only lim-ited thought given to the fates of drugs and also very little to chronic side effects. Analytical chemistry was primitive by today’s standards. As indicated by most of the subjects of [9] book Detoxication Mechanisms [9], drug metabolism was only beginning to emerge. However, scientists did real-ize that these enzymatic reactions seen with simple organic chemicals also occurred with actual drug molecules, both natural products and purely synthetic ones. By 1958 Brodie et al. [10] had described a number of in vitro oxidation reac-tions including deamination, N-dealkylation, O-dealkylation, sulfoxidation, and hydroxylation of alkyl groups and aro-matic rings. These were usually observed with liver micro-somes and were dependent upon NADPH (then abbreviated TPNH) and O2. At this time differences among animal spe-cies were recognized, as well as sex differences and inhibi-tion by other drugs (e.g., SKF525A).

Another line of research first reported in the 1950s devel-oped from reports by Remmer and his associates that admin-istration of drugs to patients could accelerate the clearance of other drugs [11, 12]. Further, a barbiturate could accel-erate its own disappearance upon repeated administration. These studies, along with those of James and Elizabeth Miller and their student Allan Conney [13], were among

Drug Enzyme+ Drug Enzyme Product Enzyme+

Drug Enzyme

Inactive

Possibilities:

No change in activityLose actrivityMore activeToxic

Fig. 1 General paradigm of drug metabolism and bioactivation by P450 enzymes

Table 1 Drugs with black box warnings for hepatotoxicity [1]

Drug Dose (mg/day) Reactive products

Acitretin 25–50 NoBosentau 125–250 NoDacarbazine 140–315 YesDantrolene 300–400 YesFelbamate 1200 YesFlutamide 750 YesGemtuzumab (9 mg m−3) YesIsoniazid 300 YesKetoconazole 200 YesNaltrexone 50 NoNevirapine 200 YesTolcapone 300 YesTrovafloxacin 100–500 NoValproic acid 1000–2400 Yes

10/14 = 71%

Table 2 Mechanisms of P450-related drug-drug interactions

Perpetrator drug Effect on victim drug

Inducer Increased metabolism, lack of efficacyInducer Increased bioactivation via a minor pathwayCompetitive inhibitor Decreased metabolism, toxicity due to elevated level of drugIrreversible inhibitor Decreased metabolism, toxicity due to elevated level of drugAllosteric activator Same as inducer

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the first to show induction of drug metabolism by xenobiotic chemicals.

The discovery of P450

By 1960 pharmaceutical scientists had begun to appreciate the role of drug metabolism, and most of the research was focused on in vivo work with pre-clinical animal models. However, basic in vitro research could now be done. Where was P450 in all of this?

Reports of spectra we now recognize as P450 had appeared in the late 1950s [14, 15]. However, these spec-tra were not really characterized, and the 1962 report by Ryo Sato and his student Tsuneo Omura [16] is generally considered the discovery of P450 (termed “pigment 450” because of the unusual wavelength maximum at 450 nm for the Soret band). This original report was followed by two more detailed 1964 papers by Omura and Sato [17, 18]. The association of this spectral entity with NADPH-depend-ent hydroxylation was reported by Cooper, Rosenthal, and Estabrook [19] with bovine adrenal microsomes and what today is known as the P450 21A2 reaction, steroid 21-hydroxylation.

Important drugs and toxicity: thalidomde and acetaminophen

At this point I will go back chronologically to a drug that has set many of the regulatory standards for today. Thalido-mide was developed by a German company, Chemie-Grü-nenthal, in 1957 for treatment of morning sickness (nausea) in pregnant women. It was used in over 46 countries between 1957 and 1961 but was never approved by the United States FDA, although apparently some did enter the country. Tha-lidomide caused > 10,000 severe birth defects, particularly abnormal limbs and also eye and ear problems, peripheral neuropathies, and damaged organ defects (intestinal tract, heart, lungs, and kidneys) [20]. It was withdrawn from the market in 1961.

This was a tragic case. Why did this happen? The com-pound had not caused teratogenic effects in rats. The major problem was species differences. It was later shown to cause defects in rabbits and primates, as well as humans. The dif-ference in toxicity is somehow due to metabolism, as shown subsequently by Williams’ group [21, 22] and later by Gor-don et al. [23].

The fear of approving a drug that could cause birth defects or cancer has dominated US FDA policy to this day. Species differences are very much appreciated after this lesson with such an unfortunate outcome. If there is a “silver lining”, this incident was what really opened the

field of biochemical/mechanistic toxicology and provided the resources needed to study new drugs.

Some developments have occurred with thalidomide since then. Many hypotheses (at least 30) have been advanced to explain the species-specific teratogenesis. Thalidomide is not mutagenic. It is oxidized by P450s (2C19, 3A4, 3A5) to reactive epoxides and quinones that bind to glutathione and proteins (Fig. 2) [24–28], although the rates of oxidation are very slow. Thalidomide also produces reactive oxygen species [29], which might be synergistic with other damage. One proposed mechanism of damage involves binding to the protein cereblon [30] although the concentrations used in these experiments (300 µM) may be too high to be relevant, in that a typi-cal Cp,max value (maximum plasma concentration) for tha-lidomide is ~ 4 µM. In recent years thalidomide has had a revival in that it was approved for use in treating erythema nodosum leprosum (leprosy) in 1998 and multiple mye-loma in 2006, and a derivative (lenalidomide) has gone on to be a successful drug for treating myeloma.

Acetaminophen (paracetamol, Tylenol®) is a simple compound (4-hydroxyacetanilide) that was shown to be derived from oxidation of two earlier analgesics, phenace-tin and acetanilide. It is used widely in the United States and Europe, with an estimated 23% of the population using it therapeutically at least once a week [31]. However, high doses are toxic, and this drug accounts for one-half of drug-induced liver failures [31]. It is a classic example of Para-celsus’s axiom “the dose makes the poison” (differentiating a medicine from a poison) [2].

A classic series of four back-to-back papers from the group of Brodie, Gillette, and Mitchell in 1973 showed that acetaminophen was bioactivated to a form that binds cova-lently to proteins [32–35]. In this series of papers, radioac-tive acetaminophen was shown to bind covalently to proteins in vitro and in vivo. Indices of toxicity were correlated with the extent of covalent binding. Subsequent work a number of years later implicated human P450s 2E1, 1A2, and 3A4 in the bioactivation [36], and knocking out P450 2e1 and1a2 in mice rendered the animals highly protected from acetami-nophen poisoning [37, 38]. Nelson’s laboratory showed that 2-electron oxidation of acetaminophen to the iminoquinone is involved in the bioactivation process [39, 40] (Fig. 3). Many adducted proteins have been identified [41], but it is not clear that a single one is responsible for the toxicity. The meta congener of acetaminophen (3-hydroxyacetanilide) is less toxic, at least in some animal models, which may be related to its ability to form ortho-quinones but not the imi-noquinone [42].

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The “downstream” biological events involved in acetaminophen toxicity are still unclear [43]. Genes impli-cated in mouse genetic studies [44] have not been replicated in human genetic studies [45]. Nevertheless, the roles of

Fig. 2 Bioactivation of thalidomide [28]. Reprinted with permission from American Chemical Society. G. Chowdhury, N. Maryana, Y. Okada, Y. Uno, M. Shimizu, N. Shibata, F. P. Guengerich, and H. Yamazaki, Chemical Research in Toxicology 23, 1018–1024, 2010

Fig. 3 Bioactivation of aceta-minophen

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P450s in initiation of the damage are quite clear from the Gonzalez mouse studies [37, 38].

More developments in the 1970s

The 1970s saw many new developments in the field of drug metabolism. The Gordon Conference on Drug Metabolism began in 1970 and has been held every year since then (except 2020, due to the Covid-19 virus pandemic), bring-ing together leading scientists from academia, government, and the pharmaceutical industry to a pleasant venue in New Hampshire every July. (I chaired this meeting in 1988). In 1976 Testa and Jenner published a popular textbook on drug metabolism, Drug Metabolism: Chemical and Biochemical Aspects [46], which to a large extent succeeded the 1959s edition of Williams’ text Detoxication Mechanisms [47]. This book focused more on drugs, on types of metabolism that were documented, and was a standard text for a number of years.

Extensive studies by Nebert and his associates appeared, particularly on the genetics of inducibility of aryl hydro-carbon hydroxylase in mice. Much of this work was related to cancer [48] but there were also some applications with drugs. Zoxazolamine metabolism, as measured by paralysis time, was related to the loss of the Ah receptor [49]. High

doses of acetaminophen caused cataracts in mice, and Ah-nonresponsive mice were protected [50].

Further work from Gillette, Mitchell, and their associ-ates showed extensions of the acetaminophen story to other drugs, e.g., the furan furosemide [51–53]. That is, there was metabolic activation (presumably by P450) followed by covalent binding. This paradigm (Fig. 3) would be applied to numerous drugs (and still is), e.g., diclofenac (Fig. 4) and troglitazone (Fig. 5). Although not discussed here, there was a counterpart to this generation of reactive intermediates of pro-carcinogens to products that could react with DNA and cause cancer, as exemplified by the work of James and Elizabeth Miller [58] and Bruce Ames [59]. Later the efforts to utilize covalent binding to protein as a leading indicator of toxicity, especially idiosyncratic toxicity, would be empha-sized in the pharmaceutical industry [60], although there is an appreciation that more is involved (vide infra).

The age of P450s opens

As already mentioned, P450 had been discovered in the early 1960s. By the late 1960s the question arose as to whether there was a single form of P450, two, or perhaps even more. Several lines of evidence suggested that there were at least two, on the basis of preferential induction of different catalytic activities by individual chemicals and by

NH

CO2H

ClCl

Diclofenac

P450

2C9

NH

CO2H

ClCl

OH

P450

2C9

N

CO2H

ClCl

O

Nucl N

CO2H

NuclCl

O

N

CO2H

ClCl

O

+

Nucl

NH

CO2–glucuronide

ClCl

UGT2B7

Protein transacylation & glycation

P450 3A4

NH

CO2H

ClCl

HO

P450

2C9N

CO2H

ClCl

O

Nucl

4´

5

NH

CO2H

ClCl

HO

Nucl

Fig. 4 Bioactivation of diclofenac. Nucl: nucleophile

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the appearance of slightly altered but reproducible spectral differences [61, 62].

In 1968, the first Microsomes and Drug Oxidations conference was held in Bethesda, Maryland, USA [63]. Some of the major topics that the speakers discussed were whether P450 was synthesized in the rough or smooth endoplasmic reticulum, whether there were one or two P450s (some questioned whether changes in phospholip-ids might be responsible for the altered activities), the role of cytochrome b5 (Estabrook, Mannering), the purifica-tion of P450 from rabbit liver (Coon, Sato), the chemi-cal mechanism(s) of catalysis (Ullrich, McMahon, Uden-friend, Daly, Witkop, Jerina), and the biological basis of P450 induction. Some of these may seem to be unusual or esoteric topics today, but that was 53 years ago. Regarding induction, one question was whether new enzyme synthe-sis actually occurs—one must remember that many of the techniques we take for granted today did not exist then. This meeting is still held biennially (https ://mdo.ki.se).

In 1968 Lu and Coon [64] solubilized liver microsomes, separated the P450, NADPH-P450 reductase, and lipid com-ponents, and mixed these together to reconstitute catalytic activity (ω-hydroxylation of lauric acid). Work with this system was soon extended to drugs [65]. The purification of multiple forms of liver P450 [66] would answer the question of multiplicity.

Subsequently a number of individual P450s were purified from rabbit and rat liver [66–70] and their activities towards a number of drugs were characterized [71, 72]. These bio-chemical studies facilitated the understanding of many phe-nomena of in vivo investigations.

However, the work with rats and rabbits showed some interesting differences and several scientists realized that the human P450s would need to be characterized. At that time (late 1970s) access to useful human liver samples was problematic, but several investigators were working on the biochemistry [73–76]. While these early efforts did yield some purified proteins that can now be characterized based

OO

NHS

O

O

HO

Troglitazone

R'

NHS+

O

O

-OHO

S

R'N C O

O

HOS

R'NH2

O

GSH

[O]

HOS

R'

HN

O O

SG

[O]

HOS

R'

HN

O O

SG

O

-H2O

-OS+

R'

HN

O O

SG

Thialazidinedione ring

OR

•O

Chromane ring

OR

O

•

-H•

[O]

OR

O

OR

OCH2

OR

O

SG

OR

O

OH

AB

OH

O

O R

HO

+ Thialazidinedione ring oxidation

O

O

HOO

SNH2

O

SG

GSH

Fig. 5 Bioactivation of troglitazone [54–57]. a Activation of the chromane ring; b activation of the thialazidineone ring

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on further experience, there was only limited insight into their catalytic properties at the time. Important in vivo stud-ies by Smith et al. [77–79] showed that the metabolism of a particular drug could be dominated by a single (putative) P450 enzyme. Accordingly, it should be possible to purify that enzyme from human tissue by monitoring catalytic activity. This is a technically challenging and very labori-ous approach, but it was used in our laboratory [80] to purify the enzymes now known as P450s 1A2 [81], 2C8 and 2C9 [82], 2D6 [81], and 3A4 [83].

In the next few years, the cDNAs were cloned and ulti-mately heterologous expression systems were developed to produce the enzymes [84–86]. With purified and recom-binant enzymes it was possible to characterize individual P450s in terms of their substrate selectivity towards drugs [87], steroids [88], and chemical carcinogens [89], includ-ing situations where metabolism was related to toxicity [36, 90, 91].

In 1976, an international series of biennial meetings on the cytochrome P450 enzymes was established as a means of facilitating contact of scientists in this area working in Eastern Bloc and western countries but has developed into a timely international biennial series with meetings rotat-ing among Europe, Asia, North America, and Australia. The first meeting was in (Primosten) Yugoslavia, in what is now Croatia. Issues addressed at these research meetings (International Conferences on Cytochrome P450, https ://www.p450m eetin gs.com) include biochemistry, biophys-ics, gene regulation, and pharmaceutical and biotechnology applications.

Animal models and human comparisons

The ability to study individual human P450 reactions in vitro addressed a number of important comparisons with animals, which had been extensively relied on for pharmacokinetic data, as well as drug safety studies. Animal models are still utilized extensively in drug safety studies, particularly for hazard identification. However, risk assessment (the other key element in toxicology) utilizes principles gained through the study of human biochemistry.

One difference between humans and many animal models is P450 induction. For instance, peroxisome proliferation is much more robust in rodents than humans [92]. Differences in the pregnane X receptor (PXR) change ligand selectivity in the induction of P450 3A family members [93].

There are also qualitative differences in metabolism. In cynomolgus monkeys, P450 1A2 is not expressed and these are not good models for heterocyclic amines [94]. Human P450 2D6 has some important differences with the animal P450 2D Family P450s [95, 96]. One of the FDA issues is the relevance of “human specific metabolites”, i.e., those

present at levels ≥ 25% in humans that are not found or only found at low levels in experimental animals used for safety testing [97–99].

Rodents are notorious for sex differences, e.g., rat P450s 2C11 and 2C12 [100–102]. However, any sex differences in human P450 expression are minor [103]. This is an impor-tant point in considering the relevance of major sex differ-ences in pre-clinical drug toxicity or carcinogenesis and their relevance to humans.

Not surprisingly, the differences between the P450s in humans and animals may generate drug toxicities that are seen in animals but not man—and also the opposite (e.g., thalidomide, vide supra). For instance, rat P450 2C11 was implicated in the metabolism of a drug candidate that released cyanide and caused brain problems only in male rats, which turned out to be irrelevant to the human situa-tion [104]. Rabbit lung P450 4B1 activates the lung toxin 4-ipomenol. This toxic natural product was tested in humans as a lung cancer drug but was found to produce liver toxicity following bioactivation by P450s 1A2 and 3A4 [105], which are not expressed well in human lung. Human P450 1A2 is an order of magnitude more active than rat P450 1A2 in the bioactivation of several heterocyclic amines [106].

Another species difference is polymorphisms and other genetic variations. As already alluded to, polymorphisms were well known in rodents, especially mice, at least at the level of gene regulation, if not in coding regions [48]. Human P450 polymorphisms in what is now known as CYP2D6 were identified in the 1970s [77–79] and in the 1980s in P450 2C19 [107, 108]. (Note: by definition a poly-morphism is present at ≥ 1% incidence in a population, and the term “variant” includes not only polymorphisms but all rare changes, and the term “single nucleotide variant” (SNV) is probably more generally appropriate, i.e., ≥ 160 CYP2D6 SNVs are known (https ://www.pharm var.org/gene/CYP2D 6).) Today we realize that SNVs are seen in all human P450s (https ://www.pharm var.org/gene/CYP2D 6). However the majority of SNVs do not affect catalytic activity (this is true for most genes). Many of the human SNVs have not been characterized in this regard. Moreover, coding-region SNVs may have different effects with different substrates and inhibitors, not surprisingly (e.g., P450 2C9 [109] and P450 3A4 [110]). Although animal models may provide interest-ing SNV and polymorphism models, the molecular basis is almost always different in humans.

Advances in analytical chemistry

The development of analytical chemistry has been cru-cial in studies of drug metabolism and toxicity, in that toxicokinetics requires measurements of concentrations and characterization of mechanisms usually requires

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identification of structures. One can appreciate the work that Williams and other early pioneers did with the very limited methods available. When did these methods develop?

The use of radioisotopes in metabolism studies began in the late 1940s. These methods, although now eclipsed by some others, proved to be invaluable in mass balance stud-ies and in the measurement of covalent binding. They still provide the most accurate quantitation, especially when not all products or adducts have been characterized.

NMR spectroscopy really began in physics in the 1940s and was then applied in organic chemistry in the 1950s [111]. It has continued to develop in terms of both reso-lution and sensitivity. When I was a graduate student in the early 1970s, 60 MHz was routine and 100 MHz was reserved for difficult jobs. Today, with superconducting magnets, we routinely operate at 600 MHz, with two-dimensional methods, and acquiring spectra with sub-µg samples is not an issue if samples are very pure [112].

Gas chromatography (GC) is also an invention of the 1950s [113], which developed in the the 1960s and was linked to mass spectrometry then [114]. At first, large-bore (0.5 cm diameter) chromatography columns were packed by hand (I learned to do this as an undergraduate student). By the late 1970s these were displaced by with glass cap-illary columns, which provided much higher resolving power.

High performance liquid chromatography (HPLC) developed in the 1970s and by 1980 had become the method of choice in general. The use of reversed-phase packings is generally very convenient in terms of speed and resolution, aqueous samples can be loaded directly, and separation development is rather routine. Ultra-per-formance liquid chromatography (UPLC), with narrower bores and smaller particle sizes, developed in the mid-2000s era.

It was not until the late 1980s that HPLC could be cou-pled directly with mass spectrometry, due to the develop-ment of electrospray ionization [115]. Mass spectrometry was already important, but most analysis had to be done off-line from HPLC, if GC-mass spectrometry was not used. LC-mass spectrometry has greatly facilitated the analysis of large molecules, in that formerly glucuron-ides and sulfates had to be hydrolyzed for analysis. High resolution mass spectrometry (HRMS) had long been pos-sible with magnetic sector equipment, with its ability to determine elemental composition, but it has been greatly facilitated with the newer technology, e.g., Orbitrap and Q-Tof instruments. Further, ion trap methods have facili-tated analysis of cleavage of molecules and identification of metabolites. Developments in imaging mass spectrom-etry since the mid-1990s have begun to facilitate drug dis-tribution studies [116].

SNVs, polymorphisms, and toxicity

SNVs may influence drug toxicity in several ways. One of the most common is to accentuate the pharmacological effect due to lack of clearance. This is, for instance, how the CYP2D6 polymorphism was discovered, in that Robert Smith (personally) experienced a strong hypotensive effect of debrisoquine [77]. Other effects attributed to P450 2D6 deficiency are perhexiline neuropathy [117], phenformin-induced lactic acidosis [118], and captopril-induced agran-ulocytosis [119]. Individuals deficient in P450 1A2 are unable to metabolize caffeine and theophylline well and therefore sensitive [120].

Conversely, some drugs are activated by P450s, and there are SNVs that involve higher activity than wild type enzyme, e.g., CYP2D6*53 [121, 122]. In this regard, there are also gene duplication SNVs that lead to overproduc-tion of a P450, e.g., P450 2D6 [123]. P450 2D6 converts codeine to morphine. In one unfortunate case a mother was an “ultrafast” P450 2D6 metabolizer and her nursing child died of morphine toxicity [124].

SNVs can raise problems with drug toxicity, and the FDA asks for evidence that any sensitive populations will not be at risk with a new chemical entity (drug candidate). Because of all of these issues, pharmaceutical companies prefer to develop drugs in which a single P450—or other enzyme—does not dominate the metabolism, particularly a highly polymorphic one such as P450 2D6 or 2C19 [125]. These considerations may also have racial implications and implications for particular markets, e.g. the incidence of P450 2C19 poor metabolizers is 15–20% in East Asian countries [126]. Domination of the metabolism by a single P450 is an issue not only with regard to SNVs and poly-morphisms but also with inducers and inhibitors regarding drug-drug interactions [127]. Other issues regarding tox-icity due to a dominance of metabolism by a single P450 are low bioavailability and extensive first-pass clearance [127].

Ethanol

Historically the metabolism of ethanol has been attributed to alcohol and aldehyde dehydrogenases [128, 129]. How-ever, since the 1960s there have been evidence for a micro-somal ethanol oxidation system that uses NADPH and pro-duces acetaldehyde [130, 131]. Skepticism about a role for P450 existed, given the nature of ethanol as a small, polar molecule. Ultimately, the P450-catalyzed oxidation of ethanol was demonstrated to be done mainly by P450 2E1 [132–134], and the acetaldehyde is also converted to

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acetic acid by P450 2E1 [135–137]. The contribution of the P450 pathway relative to alcohol and aldehyde dehy-drogenases for ethanol oxidation can vary, tending to be more important at high concentrations [138].

There are at least four reasons for considering P450 2E1 in the context of drug toxicity. (1) Acetaldehyde is toxic itself and also generates DNA adducts, which may be involved in ethanol-linked cancers [139]. (2) Ethanol induces P450 2E1, and P450 2E1 acts on several drugs [140]. In particular, several low molecular weight anesthetics are substrates and low P450 2E1 could render an individual at risk. (3) P450 2E1 activates some drugs to reactive species, perhaps the most notable being acetaminophen, which has already been presented above. This may be a potential issue with aceta-minophen toxicity (vide supra) in alcoholics. (4) Ethanol is also a competitive inhibitor of P450 2E1, in the short term, and can block the metabolism of drug substrates [140].

For a number of drugs (e.g., sedatives), ethanol is con-traindicated but most of these situations are due to pharma-codynamic considerations, not pharmacokinetic.

Toxicophores

As the literature on P450 reactions, covalent binding, and drug toxicity grew, it became possible to develop lists of entities that could be activated to reactive forms by P450s,

as well as other enzymes [141]. A current list, which is not intended to be comprehensive, is shown in Fig. 6. Some of the transformations are discussed elsewhere in this review, and others are presented in detail elsewhere [57, 142–147].

The presence of any these moieties in a prospective drug candidate should be a warning to a medicinal chem-ist that there is a possibility of bioactivation, which could take the form of mechanism-based inactivation, genera-tion of electrophiles that bind proteins, and mutagenesis/carcinogenicity (Fig. 1). Alternate structures should be considered, assuming that pharmacological efficacy is not lost. However, it should also be emphasized that the pres-ence of one of these structures in a drug does not mean that bioactivation or toxicity will occur. For example, there are safe thiophene drugs on the market (Fig. 7). Deriva-tives of aniline are suspect (Fig. 8) and have been asso-ciated with a number of problems (e.g., acetaminophen, phenacetin) but the best-selling hypercholesterolemic drug atorvastatin (Lipitor®) has a long history of safety (Fig. 7). Many good drugs contain carboxylic acids (which can have toxicity issues related to glucuronidation, Fig. 4). The point can also be made that even a simple phenyl ring is only one step away from a reactive product (i.e., epoxide). Nevertheless, the presence of one of the entities in Fig. 6 should trigger caution as one moves a compound on. If there is a choice among candidates, then the one devoid of these moieties would be preferred in the absence of other factors.

NH

HN

NH

O

Hydrazines &hydrazides

CO2HCO2H

Arylacetic acids & arylpropionic acids

S O NH

Thiophenes, furans, & pyrroles

NH2 HN

O

Anilines & acetanilides

O

O

NH

OQuinones &

quinoneimines

H3C CH2 CO2Hn = 2-6

Medium chain length fatty acids

XCH2 X

Alkyl hydrocarbons and halogenated aromatics

(X: I > Br > Cl > F)

O2N

Nitroaromatics

NH

Cyclopropylamines

O OH

Moieties that form , -unsaturated enol-like strucctures (Michael acceptors)

SH SO

HN S

O

O

Thiols, thiono compounds, thiazolidinediones

Fig. 6 Toxicophores. Some moieties in drug candidates that require consideration regarding potential bioactivation [141–144]

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Idiosyncratic toxicity

Idiosyncratic means “individualized” here, and drugs in this category can be particularly problematic. The incidence of toxicity (often liver damage) is low, generally on the order of 1/103 or even 1/104. Even a large clinical trial might involve 30,000 individuals, so such problems may well be missed. Animal models have not been particularly useful in identi-fying idiosyncratic reactions, in that (1) similar numbers of animals would be required and (2) even if an idiosyncratic reaction is seen in animals the mechanism might differ from that in humans.

Bioactivation can be involved (Tables 1, 3). An interest-ing example is tienilic acid, a thiophene that is oxidized to either an S-oxide or an epoxide by P450 2C9 [148, 149] (Fig. 9). Radioactivity from tienilic acid was bound almost exclusively to P450 2C9 in liver microsomes [148] (Fig. 10). Some of the patients administered tienilic acid also devel-oped antibodies that recognized either free or tienilic acid-conjugated P450 2C9 [148]. These events raise the hypoth-esis that bioactivation of tienilic acid, covalent binding, and formation of autoantibodies is a paradigm for the idiosyn-cratic liver damage [150]. It may be, but the presence of these antibodies has never been causally linked to hepatox-icity, and efforts to develop animal models have not been successful [151, 152]. These anti-P450 2C9 antibodies are also related to phenytoin exposure [153].

A similar situation was seen with dihydralazine and P450 1A2, i.e. bioactivation by P450 1A2, covalent bind-ing to P450 1A2, plus circulating antibodies that recognize P450 1A2 [154, 155] (Fig. 11). Again, a causal relation-ship between autoantibodies and liver toxicity is yet to be established.

NH

O

F

OH

OH OH O

Atorvastatin(Lipitor)

N

S

OO

Cl

Clopidogrel(Plavix)

O

NH

S

Duloxetine(Cymbalta)

NS

HNO

O

O

Esomeprazole(Nexium)

N

HO

SO

OH

Cl

Montelukast(Singulair)

NN

O NH

O

ClCl

Aripiprazole(Abilify)

Fig. 7 Some molecules containing potential toxicophores that became successful drugs

0 1 2 3 4 5 6

NoneThiopheneThioamide

ThiazolidinidioneThiazole

Short–medium chain fatty acidp-Hydroxyaniline

Phenol

Incidence

Olefino-AlkylphenolNitrobenzeneIodobenzene

HydrazideHeteroarylacetic acid

FuranCyclopropylamine

CatecholBromobenzene

ArylhydrazineArylacetic acid

AnilineAnilide

AminothiazoleAlkylpyrrole

Alkylhydrazine2-Aminothiazole1,3-Benzdioxole

Fig. 8 Frequency of structural alerts in drugs associated with black box warnings [147]. Reprinted with permission from American Chemical Society. Antonia F. Stepan, Daniel P. Walker, Jonathan Bauman, David A. Price, Thomas A. Baillie, Amit S. Kalgutkar, and Michael D. Aleo, Chemical Research in Toxicology 24, 1345–1410, 2011

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Table 3 Examples of links of bioactivation to idiosyncratic drug reactions [146]

ADR Adverse drug reaction

Drugs withdrawn (United States) Temporarily withdrawn or withdrawn in other countries

Marketed drugs

Aclofenac (anti-inflammatory)Hepatitis, rash

Aminopyrine (analgesic)Agranulocytosis

Abacavir (antiretroviral)Cutaneous ADRs

Alpidem (anxiolytic)Hepatitis (fatal)

Nefazodone (antidepressant)Hepatitis (> 200 deaths)

Acetaminophen (analgesic)Hepatitis (fatal)

Amodiaquine (antimalarial)Hepatitis, agranulocytosis

Trovan (antibacterial)Hepatitis

Captopril (antihypertensive)Cutaneous ADRs, agranulocytosis

Amineptine (antidepressant)Hepatitis, cutaneous ADRs

Zileuton (antiasthma)Hepatitis

Carbamazepine (anticonvulsant)Hepatitis, agranulocytosis

Benoxaprofen (anti-inflammatory)Hepatitis, cutaneous ADRs

Clozapine (antipsychotic)Agranulocytosis

Bromfenac (anti-inflammatory)Hepatitis (fatal)

Cyclophosphamide (anticancer)Agranulocytosis, cutaneous ADRs

Carbutamide (antidiabetic)Bone marrow toxicity

Dapsone (antibacterial)Agranulocytosis, cutaneous ADRs,aplastic anemia

Ibufenac (anti-inflammatory)Hepatitis (fatal)

Diclofenac (anti-inflammatory)Hepatitis

Iproniazid (antidepressant)Hepatitis (fatal)

Felbamate (anticonvulsant)Hepatitis (fatal), aplastic anemia(fatal), severe restriction in use

Metiamide (antiulcer)Bone marrow toxicity

Furosemide (diuretic)Agranulocytosis, cutaneous ADRs,aplastic anemia

Nomifensine (antidepressant)Hepatitis (fatal), anemia

Halothane (anesthetic)Hepatitis

Practolol (antiarrhythmic)Severe cutaneous ADRs

Imipramine (antidepressant)Hepatitis

Remoxipride (antipsychotic)Aplastic anemia

Indomethacin (anti-inflammatory)Hepatitis

Sudoxicam (anti-inflammatory)Hepatitis (fatal)

Isoniazid (antibacterial)Hepatitis (can be fatal)

Tienilic Acid (diuretic)Hepatitis (fatal)

Phenytoin (anticonvulsant)Agranulocytosis, cutaneousADRs

Tolrestat (antidiabetic)Hepatitis (fatal)

Procainamide (antiarrhythmic)Hepatitis, agranulocytosis

Troglitazone (antidiabetic)Hepatitis (fatal)

Sulfamethoxazole (antibacterial)Agranulocytosis, aplasticanemia

Zomepirac (anti-inflammatory)Hepatitis, cutaneous ADRs

Terbinafine (antifungal)Hepatitis, cutaneous ADRsTiclopidine (antithrombotic)Agranulocytosis, aplastic anemiaTolcapone (anti-Parkinson’s)Hepatitis (fatal)Trazodone (antidepressant)HepatitisTrimethoprim (antibacterial)Agranulocytosis, aplastic anemia,cutaneous ADRsThalidomide (immunomodulator)TeratogenicityValproic acid (anticonvulsant)Hepatitis (fatal), teratogenicity

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Some individuals also have autoantibodies to P450s 2D6 [156], although no drug association has never been estab-lished. With P450 2E1, the presence of autoantibodies is associated with exposure to halothane, an anesthetic sub-strate [157–159]. Interestingly, some people have anti-P450 3A autoantibodies after exposure to aromatic anticonvul-sants (e.g., phenytoin) [160] but surprisingly the antibodies only recognize animal 3A family enzymes, not P450 3A4 [161].

Abacavir was shown to cause an immune hypersensitiv-ity syndrome in individuals with the HLA-B*57:01 allele. In 2012 an X-ray crystal structure of the parent drug bound to HLA-B*57:01 protein showed the binding of abacavir (parent drug) to two amino acids unique to the variant and can explain the observed alteration in the preference for peptide binding that is associated with the hypersensitivity [162, 163]. This is not related to bioactivation (the parent drug is the actor here) but does suggest that induced immune

responses may have a more general role in liver toxicity. However, no similar scenario has been identified since then, and whether this is a more general paradigm for hepatoxicity remains to be established.

Drug–drug interactions

Some of these have already been presented. Drug–drug interactions cause a significant number of deaths each year. Better data is available for hospitalized patients, and in one report 7% of the patient deaths were attributed to drug–drug interactions [164].

Some of these are pharmacodynamic, but only pharma-cokinetic issues will be discussed here. The general mecha-nism is for one drug to influence the metabolism of another (Table 1). This can be due to an increase or decrease in drug metabolism. In some of the literature one drug has

Fig. 9 Alternate mechanisms for the bioactivation of thio-phenes [149]

SR

SRO

H

H

H

SR O

H HH

SR O

H H

H

S+R

O-

H H

H

A

B

SO

NR

P450

P450

S+O

NR

O-OH-

HO2CS

NR

OH

S

NR

SG

HO2CRSH

HS

NR

HO2C

GSH

RSSG

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Fig. 10 Bioactivation and generation of autoantibodies from tienilic acid [148]

NH2HN

HNNH2

Dihydralazine

P450

1A2

NHOHHN

HNNHOH

P450

1A2

N=OHN

HNN=O

P450 1A2adducts

Anti-LKM antibodies(recognize unmodified P450 1A2)

Cause/effect?

Liver toxicity

Fig. 11 Bioactivation and generation of autoantibodies from dihyralazine [154]

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been termed the “victim” and the other the “perpetrator”, although this may not apply in some of the more complex situations. Most pharmacokinetic drug-drug interactions are due to either P450 induction or inhibition, mostly the latter (Table 1).

A classic example is that of terfenadine (Fig. 12) [90, 165], the first non-sedating antihistamine on the market. At least two million prescriptions for terfenadine (Seldane®) were written, and for most individuals this drug provided relief from allergies without the side effect of drowsiness. However, some deaths were reported (estimated to be as many as 170). At the time, the manufacturer (Marion-Mer-rill-Dow) knew the pathways for metabolism (Fig. 12) but did not know which P450(s) was involved. On their request, our laboratory addressed the issue and implicated P450 3A4 [90], which was consistent with clinical reports of interac-tions with the inhibitors ketoconazole and erythromycin [166, 167]. Inhibition of P450 3A4 (or just having very low levels otherwise) allows the parent drug to accumulate in plasma and to interact with the hERG ion channel. Subse-quently the FDA required a contraindication warning and then later withdrew terfenadine from the market. The drug was replaced by the metabolite fexofenadine (Allegra®) (Fig. 12), which had a successful history of its own and is still on the market as a generic drug [165]. This case shows how much the FDA—and the pharmaceutical industry—have changed since 1990, in terms of obtaining data on roles of P450 in the metabolism of new drug candidates, as a part of the drug development process.

Drug–natural product interactions

Although drug–drug interactions related to P450 activities are well-known, less is known about interactions with chem-icals in two groups of natural products—food and herbal medicines. Both are complex mixtures.

Grapefruit juice was found, through a rather serendipitous clinical study [168], to inhibit the oxidation of the dihy-dropyridine calcium channel blocker and hypotensive agent felodipine, a P450 3A4 substrate [169]. This phenomenon is seen with many P450 3A4 substrates, particularly those in which much of the metabolism occurs in the small intes-tine [170]. The main entity in grapefruit juice responsible appears to be the furanocoumarin bergamottin (Fig. 13) [171, 172]. Many drug labels for P450 3A4 substrates (≥ 85) now carry contraindication warnings, and of these at least 43 drugs are considered serious [127]. Although the inges-tion of grapefruit juice can increase the area-under-the-curve (AUC) several-fold [173–175], apparently no deaths have been attributed to this phenomenon.

An example of a drug-drug interaction, although not related to overt toxicity, involves 17α-ethynylestradiol, the estrogenic component of most oral contraceptives. Induc-tion of P450 3A4 by rifampicin and barbiturates leads to more rapid clearance and a lower AUC, thus to therapeutic ineffectiveness and unanticipated pregnancy [148, 176–178]. The same phenomenon has been reported with the herbal remedy St. John’s wort [179], which contains the powerful PXR-dependent inducer hyperforin [180].

HO NOH

CH3

H3C CH3

Terfenadine

HO NH

Azacyclonol

HO NOH

CH3

H3C CH2OH

HO NOH

CH3

H3C CHO

HO NOH

CH3

H3C CO2H

P450

3A4P4503A4

P4503A4

P4503A4

Fexofenadine

Terfenadine alcohol( -OH terfenadine)

P4503A4

Fig. 12 Oxidation of terfenadine by P450 3A4 [90, 165]

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On‑going issues

Although much progress has been made, there are still things to learn. One deficiency is predicting the in vivo magnitude of P450 SNVs. For instance, even the CYP2D6*3 polymor-phism, which results in loss of the entire enzyme due to aberrant mRNA splicing, has varying effects in vivo with different drugs [181], and the results cannot be explained simply by the contribution of other P450s. The prediction is even more complicated with coding region SNVs, e.g., those in P450 2C9 [109].

Drug-drug interactions can still be unpredictable. For instance, although ketoconazole is a strong inhibitor of P450 3A4, its effect on in vivo metabolism of different drugs can be rather variable [182]. The differences cannot be attrib-uted only to the extent of first-pass metabolism in the small intestine.

Another issue is predicting time-dependent inhibition of P450s. This appears to be a particular issue with P450 3A4 [183, 184]. Many of the drugs that cause time-dependent inhibition do not have any of the common toxicophores (Figs. 6, 8) nor do they have the chemical characteristics

of other known mechanism-based inhibitors, e.g., acety-lenes. This is a problem in vitro as well as in vivo, in that a major effect on clearance can preclude candidates from development.

Although most of the interest in human drug metabo-lism centers around the five major hepatic P450s (1A2, 2C9, 2C19, 2D6, 3A4) [185], others can also contribute, including P450s 1A1, 2A6, 2B6, 2C8, 2E1, 2J2, 3A5, 3A7, and 4F2 [186]. A point of interest is that even P450s that are generally devoted to the metabolism of endogenous substrates (e.g., steroids, fatty acids) can also react with drugs and elicit effects [187]. An interesting example is P450 11A1 (Fig. 14). This enzyme catalyzes cholesterol side chain cleavage, the first committed step in steroid bio-synthesis. However, it was implicated in the bioactivation of a drug candidate in the adrenal glands [188]. The Zhang et al. reference [188] contains a list of other drugs that interact with adrenal P450s, including aminoglutethim-ide, metyrapone, etomidate, ketoconazole, and mitotane. Another interesting case is brain P450 46A1, which can act on and is also stimulated by drugs such as efavirenz [189, 190].

O

O

OP450

3A4

O

O

O O

O

O

O

H2OOH

OH

Bergammottin6´,7´-Dihydroxybergammottin

O

OR

O

P4503A4

OOR

OOO

O

OR

O

OR

OHOO

HO

NH NHO O

–272LQLMIDSQNSK282– –272LQLMIDSQNSK282–

P450 3A4 P450 3A4

Fig. 13 Mechanism-based inactivation of P450 3A4 by bergamottin, a constituent of grapefruit juice [127, 171, 172]

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Another problem in drug toxicity is understanding the biology. Bioactivation can be assigned a causal role in drug toxicity through transgenic (knock-out) studies, at least in animals. In many cases, the covalent modification that results is generally regarded to be important (e.g., Figs. 1, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14, Tables 1, 3) but the biology is less clear. In the 1970s and at least early 1980s, many in the field were of the opinion that there was a protein modified that was the “master switch” and could explain all toxicity. ATP-dependent calcium pumps were in vogue as candidates [191, 192]. However, with time, it has become clear that (1) many proteins (and other molecules) become modified [41] and (2) there are multiple pathways leading to toxicity in a cell [193]. There is also a continuum of effects of reac-tive electrophiles on cells ranging from evoking protective

responses (e.g., anti-oxidant response element, KeapI/Nrf2) to apoptosis to necrosis [193].

Although recombinant P450 systems have been very use-ful in studying drug metabolism over the past 25-plus years, they cannot provide all of the answers regarding toxicity. There is a need for more complex systems that report cellu-lar and tissue change. Humanized animal models (mice) are one solution, but in vitro systems are desirable, even if some of the requisite cellular complexity is lost. This remains a problem in the pharmaceutical industry, in that advancing toxic drug candidates is a very wasteful process.

A number of in vitro approaches have been discussed in recent literature [60, 194–200]. Different companies have varying approaches to predicting toxicity, although many of the main elements are similar. One approach taken in the

NNH

O

NH

N

FO

O

F

NNH

O

NH

N

FO

O

F

O

In liver

P450

11A1(adrenal)

NNH

O

NH

N

FO

O

F

O

O

NNH

O

NH

N

FO

O

F

O

OH

Covalent bindingto proteins

P45011A1

(adrenal)

NNH

O

NH

N

FO

O

F

O

Covalent bindingto proteins

NNH

O

NH

N

FO

O

F

OH

Fig. 14 Bioactivation of a drug candidate by adrenal mitochondrial P450 11A1 [188]

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TOX21 project, which is not driven by the pharmaceutical industry but does use some drugs, is the use of very high-throughput screens [201]. A major criticism of these can be made in that they have not incorporated metabolism capabil-ity, especially the use of P450s. One of the major issues in both hazard identification and risk assessment, the keystones of toxicology/safety evaluation, is deciding what is toxic: the parent compound or a metabolite. The point can be made that high-throughput toxicity screens devoid of metabolic capability resemble attempts at structure–activity relation-ship for mutagenesis before Ames introduced the use of liver post-mitochondrial supernatants (“S9”) into the Salmonella typhimurium test system that now bears his name [59].

In closing, it should be pointed out that the focus of this review has been human drug toxicity. However, all of these issues need to be considered in the context of drugs used in veterinary practice as well [202–204].

Pulling all of this together in the context of dealing with numerous compounds and structural leads is difficult, but it is an integral part of pharmaceutical development. Some success has been achieved in in silico prediction of (chemi-cal) sites of oxidation [205–207]. Because of the large database that has accumulated and the relative simplicity of mutagenesis, SAR has been useful in predicting genetic toxicology [208, 209] but not as well for toxicity [201, 210]. However, toxicology in vivo or even a single tissue is com-plex and can involve many events [193], many of which probably remain to be described, posing an ongoing chal-lenge to safety assessment in the pharmaceutical industry.

Acknowledgements This work was supported by United States National Institutes of Health grant R01 GM118122. Thanks are extended to K. Trisler for assistance in preparation of the manuscript and to Y. Tateishi for the paradigm shown in Fig. 4. This review is dedicated to an old friend, Dr. Anthony Y. H. Lu, who shared my enthusiasm of P450 research for many years and introduced me to many applications in the pharmaceutical industry, and to the memory of our mutual mentor, Professor Minor J. Coon (1921–2018), who taught us both well.

Compliance with ethical standards

Conflict of interest The authors have no conflict of interest to disclose.

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